News

Prof. Anasse Bari's work on improving recommender system capabilities based on mimicking behavior in natural systems was featured in the July 11, 2023 Jerusalem Post. His co-authors were Nicholas Greenquist and Doruk Kilitcioglu, NYU graduate students in Computer Science at the time of the research.

The work appeared in the book chapter: Kilitcioglu, D., Greenquist, N., & Bari, A. (2023, July). Pyrorank: A Novel Nature-Inspired Algorithm to Promote Diversity in Recommender Systems. In International Conference on Swarm Intelligence (pp. 139-155). Cham: Springer Nature Switzerland.